SOTAVerified

Machine Translation

Machine translation is the task of translating a sentence in a source language to a different target language.

Approaches for machine translation can range from rule-based to statistical to neural-based. More recently, encoder-decoder attention-based architectures like BERT have attained major improvements in machine translation.

One of the most popular datasets used to benchmark machine translation systems is the WMT family of datasets. Some of the most commonly used evaluation metrics for machine translation systems include BLEU, METEOR, NIST, and others.

( Image credit: Google seq2seq )

Papers

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Showing 3551–3600 of 10752 papers

TitleStatusHype
Bilingual Data Cleaning for SMT using Graph-based Random Walk—0
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation—0
Evaluating the effects of interactivity in a post-editing workbench—0
Evaluating the Efficacy of Length-Controllable Machine Translation—0
Domain Specific Sub-network for Multi-Domain Neural Machine Translation—0
Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation—0
Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation—0
An Improvement in Cross-Language Document Retrieval Based on Statistical Models—0
Domain-Specific Paraphrase Extraction—0
Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks—0
Domain-specific MT for Low-resource Languages: The case of Bambara-French—0
Evaluating the Translation Accuracy of a Novel Language-Independent MT Methodology—0
Evaluating the usefulness of neural machine translation for the Polish translators in the European Commission—0
Evaluating Web-as-corpus Topical Document Retrieval with an Index of the OpenDirectory—0
Evaluation and Ranking of Machine Translated Output in Hindi Language using Precision and Recall Oriented Metrics—0
Evaluation Dataset for Zero Pronoun in Japanese to English Translation—0
Domain-Specific Machine Translation to Translate Medicine Brochures in English to Sorani Kurdish—0
Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes—0
Evaluation of a Runyankore grammar engine for healthcare messages—0
Evaluation of a Substitution Method for Idiom Transformation in Statistical Machine Translation—0
Evaluation of Automatic Video Captioning Using Direct Assessment—0
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences—0
Evaluation of Classification Algorithms and Features for Collocation Extraction in Croatian—0
Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary—0
An Improved Hierarchical Word Sequence Language Model Using Directional Information—0
Evaluation of large language models using an Indian language LGBTI+ lexicon—0
Evaluation of Machine Translation Based on Semantic Dependencies and Keywords—0
Evaluation of Machine Translation Methods applied to Medical Terminologies—0
Evaluation of Machine Translation Performance Across Multiple Genres and Languages—0
Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System—0
Domain specialization: a post-training domain adaptation for Neural Machine Translation—0
Evaluation of the domain adaptation of MT systems in ACCURAT—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Evaluation of Two Bengali Dependency Parsers—0
EVBCorpus - A Multi-Layer English-Vietnamese Bilingual Corpus for Studying Tasks in Comparative Linguistics—0
Event and Event Actor Alignment in Phrase Based Statistical Machine Translation—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Event participant modelling with neural networks—0
Event Role Extraction using Domain-Relevant Word Representations—0
Every sensible extended top-down tree transducer is a multi bottom-up tree transducer—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Evolution of transfer learning in natural language processing—0
Evolution Strategy Based Automatic Tuning of Neural Machine Translation Systems—0
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only—0
Bilexical Embeddings for Quality Estimation—0
An implementation of a Latvian resource grammar in Grammatical Framework—0
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise—0
Exact Maximum Inference for the Fertility Hidden Markov Model—0
Domain-independent Punctuation and Segmentation Insertion—0
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models—0
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All datasetsWMT2014 English-GermanWMT2014 English-FrenchIWSLT2014 German-EnglishACESWMT2016 English-RomanianWMT2016 Romanian-EnglishWMT2014 German-EnglishIWSLT2015 German-EnglishWMT2016 English-GermanIWSLT2015 English-VietnameseIWSLT2015 English-GermanWMT2016 German-English

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14—Unverified
2Noisy back-translationBLEU score35—Unverified
3Transformer+Rep(Uni)BLEU score33.89—Unverified
4T5-11BBLEU score32.1—Unverified
5BiBERTBLEU score31.26—Unverified
6Transformer + R-DropBLEU score30.91—Unverified
7Bi-SimCutBLEU score30.78—Unverified
8BERT-fused NMTBLEU score30.75—Unverified
9Data Diversification - TransformerBLEU score30.7—Unverified
10SimCutBLEU score30.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4—Unverified
2Noisy back-translationBLEU score45.6—Unverified
3mRASP+Fine-TuneBLEU score44.3—Unverified
4Transformer + R-DropBLEU score43.95—Unverified
5Transformer (ADMIN init)BLEU score43.8—Unverified
6AdminBLEU score43.8—Unverified
7BERT-fused NMTBLEU score43.78—Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5—Unverified
9T5BLEU score43.4—Unverified
10Local Joint Self-attentionBLEU score43.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43—Unverified
2BiBERTBLEU score38.61—Unverified
3Bi-SimCutBLEU score38.37—Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96—Unverified
5DRDABLEU score37.95—Unverified
6Transformer + R-Drop + CutoffBLEU score37.9—Unverified
7SimCutBLEU score37.81—Unverified
8Cutoff+KneeBLEU score37.78—Unverified
9CutoffBLEU score37.6—Unverified
10CipherDAugBLEU score37.53—Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97—Unverified
2MS-COMET-22Score19.89—Unverified
3MS-COMET-QE-22Score19.76—Unverified
4KG-BERTScoreScore17.28—Unverified
5metricx_xl_DA_2019Score17.17—Unverified
6COMET-QEScore16.8—Unverified
7COMET-22Score16.31—Unverified
8UniTE-srcScore15.68—Unverified
9UniTE-refScore15.38—Unverified
10metricx_xxl_DA_2019Score15.24—Unverified